MacBook Pro (16-inch, 2024)
Geekbench AI Score
23218
Single Precision Score
25833
Half Precision Score
24024
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Loplop |
| Upload Date | September 12 2025 08:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10288
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
10253
1.91 KIPS |
|
|
Image Classification (Q)
|
96% |
9245
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22962
372.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24149
391.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22959
372.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
105721
123.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
107744
125.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
104667
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
8527
676.3 IPS |
|
|
Object Detection (HP)
|
100% |
9951
789.3 IPS |
|
|
Object Detection (Q)
|
92% |
9183
733.0 IPS |
|
|
Face Detection (SP)
|
100% |
39634
470.9 IPS |
|
|
Face Detection (HP)
|
100% |
43443
516.2 IPS |
|
|
Face Detection (Q)
|
100% |
35329
419.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
44576
343.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47377
365.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
42839
334.6 IPS |
|
|
Style Transfer (SP)
|
100% |
219050
281.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232053
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
220057
284.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29557
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30232
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27396
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5325
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5318
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
6286
108.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6487
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6471
111.8 IPS |
